Color–emotion associations by speakers of Spanish and Mandarin in verbal and visual tasks: a comparison

Abstract This study aims to determine if there are differences in color–emotion association between monolingual speakers of Spanish and Mandarin, depending on how colors are presented (verbally or visually). We tested two groups of 25 speakers of these two languages in two different tasks using the Geneva Emotion Wheel, which encompasses 20 types of emotions. In Task 1, 13 colors were presented to participants as color terms in their native language, whereas in Task 2 the same colors were presented as color patches from the Munsell chart. Participants were then asked to associate color terms or color patches to the set of emotion concepts (and intensities of emotion) in the Geneva Emotion Wheel. Overall, differences between languages were not significant, regarding either the type of emotion or individual dimensions of emotion (valence, arousal or power), although significant differences were observed for specific colors. Also, Spanish speakers tended to attribute higher intensity values and higher numbers of emotion values to colors. At the same time, speakers of both languages reacted similarly to color presentation, with color terms being associated with the same emotions as color patches, but eliciting stronger reactions with respect to intensity and the number of emotion values. Finally, we found less variability in color–emotion associations within the Spanish-speaking group. Overall, our study points to a mixed pattern of universality and culture-specificity regarding how colors are used for conveying emotions by people.

Authors

Institutions

Publication Details

Journal
Language and Cognition
Published
2024-10-09
DOI
https://doi.org/10.1017/langcog.2024.52
Citations
2
Primary Topic
Color perception and design
Type
article
Field-Weighted Citation Impact
1.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Color–emotion associations by speakers of Spanish and Mandarin in verbal and visual tasks: a comparison

Antonio Benítez‐Burraco, Mingshan Xu, Jingtao Zhu
2 citations
Language and Cognition
Color perception and design
1.29
article

Color–emotion associations by speakers of Spanish and Mandarin in verbal and visual tasks: a comparison

Antonio Benítez‐Burraco, Mingshan Xu, Jingtao Zhu
article en
2 citations

Abstract

Abstract This study aims to determine if there are differences in color–emotion association between monolingual speakers of Spanish and Mandarin, depending on how colors are presented (verbally or visually). We tested two groups of 25 speakers of these two languages in two different tasks using the Geneva Emotion Wheel, which encompasses 20 types of emotions. In Task 1, 13 colors were presented to participants as color terms in their native language, whereas in Task 2 the same colors were presented as color patches from the Munsell chart. Participants were then asked to associate color terms or color patches to the set of emotion concepts (and intensities of emotion) in the Geneva Emotion Wheel. Overall, differences between languages were not significant, regarding either the type of emotion or individual dimensions of emotion (valence, arousal or power), although significant differences were observed for specific colors. Also, Spanish speakers tended to attribute higher intensity values and higher numbers of emotion values to colors. At the same time, speakers of both languages reacted similarly to color presentation, with color terms being associated with the same emotions as color patches, but eliciting stronger reactions with respect to intensity and the number of emotion values. Finally, we found less variability in color–emotion associations within the Spanish-speaking group. Overall, our study points to a mixed pattern of universality and culture-specificity regarding how colors are used for conveying emotions by people.

Language and CognitionVol. 16(4)
Técnicas y Servicios de Ingeniería (Spain) (ES), Universidad de Sevilla (ES)
Quality Education
Openalex Percentile: Top 18%
Color perception and design
1.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.